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Divya et al., 2016 - Google Patents

Methods to detect different types of outliers

Divya et al., 2016

Document ID
5765313931292150028
Author
Divya D
Babu S
Publication year
Publication venue
2016 International Conference on Data Mining and Advanced Computing (SAPIENCE)

External Links

Snippet

Outliers are those data that deviates significantly from the remaining data. Outliers has emerging applications in irregular credit card transactions, used to find credit card fraud, or identifying patients who shows abnormal symptoms due to suffering from a particular type of …
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Classifications

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    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386—Retrieval requests
    • G06F17/30424—Query processing
    • G06F17/30533—Other types of queries
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6279—Classification techniques relating to the number of classes
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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30705—Clustering or classification
    • G06F17/3071—Clustering or classification including class or cluster creation or modification
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    • G06—COMPUTING; CALCULATING; COUNTING
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